Intro
Foreword
Preface
Acknowledgments
Contents
1 Applications of Commercial Software for Lithium-Ion Battery Modeling and Simulation
1.1 Introduction
1.2 Overview of Commercial Computer Aided Engineering Software
1.3 Commercial Products for Li-Ion Battery Design and Simulation
1.4 Specific Applications
1.4.1 Materials Design
1.4.2 Electrode Simulation
1.4.3 Cell Design and Simulation
1.4.4 Module and Pack Design
1.4.5 Battery Management Systems
1.4.6 System Design
1.4.6.1 MATLAB/Simulink
1.4.6.2 Siemens
1.5 Conclusions

1.5.1 Materials Design
1.5.2 Electrode Design
1.5.3 Cell Design
1.5.4 Module/Pack Design
1.5.5 Battery Management and System Design
References
2 In Situ Measurement of Current Distribution in Large-Format Li-Ion Cells
2.1 Introduction
2.2 Direct Measurement of Current Distribution Using Segmented Li-Ion Cells
2.2.1 Experimental Method Using Segmented Li-Ion Cells
2.2.1.1 Experimental Cell with Segmented Positive Electrode
2.2.1.2 Experimental System
2.2.2 Results from Segmented Li-Ion Cell
2.2.2.1 Overall Cell Performance

2.2.2.2 Current Distribution During 1 C Discharge at Room Temperature
2.2.2.3 Effects of Discharging C Rate on Current Distribution
2.2.2.4 Effects of Ambient Temperature
2.2.2.5 Local SOC Distribution Calculated from Current Distribution Data
2.2.2.6 Internal Balancing Current After Discharge and Its Effects on Local SOC Distribution
2.2.2.7 Current Distribution During Charging
2.2.2.8 Current Distribution During Partial Charging and Discharging
2.2.2.9 Effects of Tab Configuration on Current Distribution and Usable Energy Density

2.2.2.10 Correlation Between Energy Density and Current Distribution Non-uniformity
2.3 Indirect Diagnosis of Current Distribution Through Local Potential Measurement
2.3.1 Experimental Method Using Modified Commercial Cylindrical Cells
2.3.2 Results from Modified Commercial Cylindrical Cell
2.3.3 Experimental Method Using Single-Layered Pouch Li-Ion Cell
2.3.4 Results from Single-Layered Pouch Li-Ion Cell
2.4 Noninvasive Diagnosis of Current Distribution Using Magnetic Resonance Imaging
2.4.1 Measurement Method Using Magnetic Resonance Imaging

2.4.2 Results from Magnetic Resonance Imaging
2.5 Summary and Future Work
References
3 Mesoscale Modeling and Analysis in Electrochemical EnergySystems
3.1 Introduction
3.2 Electrochemical Physics
3.2.1 Thermo-electrochemical Coupling in Lithium-Ion Batteries
3.2.2 Physicochemical Interactions in Lithium-Sulfur Battery Electrodes
3.2.3 Multiphase, Multicomponent Transport in Polymer Electrolyte Fuel Cells
3.3 Mesoscale Modeling with Case Studies in Exemplar Electrochemical Systems
3.3.1 Lithium-Ion Batteries